User Adrian Keister

40 votes

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Is there any theory or field of study that concerns itself with modeling causation rather than correlation?

answered Mar 18, 2022 at 17:00

17 votes

Why isn't causal inference a simple specialized regression problem?

answered May 4, 2020 at 15:45

17 votes

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How to interpret Pearl's do notation?

answered Jun 8, 2021 at 17:55

11 votes

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Cyclicality in causal relationships

answered Jul 28, 2021 at 20:34

10 votes

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An intuitive explanation of the instrumental variable

answered Feb 8, 2021 at 17:43

9 votes

What are some good blogs for Mathematical Statistics and Machine Learning?

answered Sep 19, 2022 at 16:56

8 votes

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What is the difference between intervention and conditional distribution?

answered Apr 20, 2020 at 16:30

7 votes

Integration of a equation

answered Jun 3, 2021 at 14:18

7 votes

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causal graph - counting the number of backdoor paths in a DAG

answered Jul 29, 2021 at 21:42

7 votes

Causal inference - difference between blocking a backdoor path and adding a variable to regression

answered Jul 29, 2021 at 23:09

6 votes

Discrete and Continuous variables. What is the definition?

answered Sep 13, 2021 at 15:27

6 votes

causal impact estimation

answered Oct 22, 2020 at 17:10

6 votes

What is the difference between linear equation and linear regression?

answered Jun 5, 2020 at 20:02

6 votes

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How can I estimate causality or the causal effect between any two variables using any statistical techniques in Python?

answered Aug 15, 2022 at 14:28

6 votes

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How to adjust for the confounder of a confounder and how to call the confounder of a confounder within treatment effect estimation?

answered Feb 21, 2023 at 20:04

5 votes

Causal modeling in the presence of a latent variable

answered Apr 14, 2023 at 15:20

5 votes

Structural Causal Models with cycles

answered Sep 21, 2022 at 15:05

5 votes

What does the phrase "adjusted by" mean?

answered Sep 28, 2022 at 13:54

5 votes

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Causal Diagram and multiple regression

answered Oct 3, 2022 at 17:54

5 votes

When is there enough or too much balancing in observational causal studies?

answered Oct 3, 2022 at 20:17

5 votes

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How to prove $(P^{-1} + B^T R^{-1} B)^{-1} B^T R^{-1} = PB^T(BPB^T + R)^{-1}$

answered Aug 27, 2021 at 17:26

5 votes

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Difference between Covariance and Mutual Information

answered Mar 19, 2020 at 14:40

5 votes

Suppose that X and Y are independent exponential random variables each with mean 1

answered Jul 7, 2020 at 18:58

4 votes

How to interpet this equation?

answered Apr 23, 2020 at 16:44

4 votes

Creating a dataframe includes my cross validation scores

answered Apr 23, 2020 at 20:04

4 votes

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Counterfactual Expectation Calculation

answered Apr 3, 2020 at 19:44

4 votes

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Definition of covariate-specific effect: why after, not before intervention?

answered Apr 7, 2020 at 13:20

4 votes

Understanding the conditional independence rule in chains

answered Apr 14, 2020 at 18:14

4 votes

What measure can I use to select a number from a dataset which future values will most likely be closest to?

answered Jun 29, 2021 at 17:41

4 votes

Accepted

Laplace and Normal Distribution Cross Entropy

answered Jun 30, 2020 at 17:17

Stack Exchange Network

134 Answers

Is there any theory or field of study that concerns itself with modeling causation rather than correlation?

Why isn't causal inference a simple specialized regression problem?

How to interpret Pearl's do notation?

Cyclicality in causal relationships

An intuitive explanation of the instrumental variable

What are some good blogs for Mathematical Statistics and Machine Learning?

What is the difference between intervention and conditional distribution?

Integration of a equation

causal graph - counting the number of backdoor paths in a DAG

Causal inference - difference between blocking a backdoor path and adding a variable to regression

Discrete and Continuous variables. What is the definition?

causal impact estimation

What is the difference between linear equation and linear regression?

How can I estimate causality or the causal effect between any two variables using any statistical techniques in Python?

How to adjust for the confounder of a confounder and how to call the confounder of a confounder within treatment effect estimation?

Causal modeling in the presence of a latent variable

Structural Causal Models with cycles

What does the phrase "adjusted by" mean?

Causal Diagram and multiple regression

When is there enough or too much balancing in observational causal studies?

How to prove $(P^{-1} + B^T R^{-1} B)^{-1} B^T R^{-1} = PB^T(BPB^T + R)^{-1}$

Difference between Covariance and Mutual Information

Suppose that X and Y are independent exponential random variables each with mean 1

How to interpet this equation?

Creating a dataframe includes my cross validation scores

Counterfactual Expectation Calculation

Definition of covariate-specific effect: why after, not before intervention?

Understanding the conditional independence rule in chains

What measure can I use to select a number from a dataset which future values will most likely be closest to?

Laplace and Normal Distribution Cross Entropy